R Notebook
library(data.table)
library(sandwich)
library(lmtest)
library(AER)
library(dplyr)
library(ggplot2)
library(patchwork)#Read in the data
d <- fread('joined_results_2nd_run.tsv')
head(d)names(d) [1] "V1" "id" "question" "sexual_orientation" "age" "marital_status" "demographic_race" "gender" "ethnicity" "residency_type" "education" "RE_job"
[13] "ownership" "treatment" "property_chosen" "abs_value_diff" "value_diff" "p_id" "Index" "question_treatment" "question_control" "population_density" "walk_score" "median_household_income"
[25] "median_age" "nb_race" "median_rooms_rounded" "bedrooms" "bathrooms" "sq_ft" "year_built" "housing_density" "median_male_age" "pct_white" "school_districts" "pct_lt_hs_grad"
[37] "median_rooms" "pct_hs_grad" "pct_at_least_col_grad" "GEOID" "state" "tract" "NAME" "ALAND" "ALAND_SQMI" "county" "Pair_ID" "INTPTLAT"
[49] "INTPTLONG" "iframe" "Racial majority detail" #Filter to where user input property == potential response Property
d_filtered = d
d_filtered#For every row, create a column that is the value difference of white to non white
#i.e. If race==white of response, abs_value_diff, else use -abs_value_diff
#Using data.table fifelse
d_filtered[abs_value_diff==0,abs_value_diff := 0.5]
d_filtered[ , white_value_diff := fifelse(nb_race=="white", abs_value_diff, -abs_value_diff)]
d_filtered[ ,log_abs_diff := log(abs_value_diff)]
d_filtered[, log_white_diff := fifelse(nb_race=="white", log_abs_diff, -log_abs_diff)]
#Create a column with 0/1 if neighborhood is white
d_filtered[ , nb_is_white := fifelse(nb_race=="white", 1, 0)]
#Create a variable for whether street view contained a person
d_filtered[ , street_view_person := rep(0, .N)]
#Change Property 1 & 3s to 1
d_filtered[ (property_chosen == "Property 1") & (question == "3s") , street_view_person := 1]
#Change both Properties of 10s to 1
d_filtered[ (question == "10s") , street_view_person := 1]
#Change property 2 of 11s to 1
d_filtered[ (property_chosen == "Property 2") &(question == "11s") , street_view_person := 1]
#Change property 1 of 13s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "13s") , street_view_person := 1]
#Change property 2 of 14s to 1
d_filtered[ (property_chosen == "Property 2") &(question == "14s") , street_view_person := 1]
#Change property 1&2 of 18s to 1
d_filtered[ (question == "18s") , street_view_person := 1]
#Change property 1 of 20s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "20s") , street_view_person := 1]
#Change property 1 of 25s to 1
d_filtered[ (property_chosen == "Property 1") &(question == "25s") , street_view_person := 1]
d_filteredggplot(data =d_filtered[ treatment==0, ], aes(d_filtered[ treatment==0, white_value_diff])) + geom_histogram()
ggplot(data =d_filtered[ treatment==1, ], aes(d_filtered[ treatment==1, white_value_diff])) + geom_histogram()
fwrite(d_filtered, "filtered_data_2.csv")df = data.table::fread("filtered_data_2.csv")
dfnames(df) [1] "V1" "id" "question" "sexual_orientation" "age" "marital_status" "demographic_race" "gender" "ethnicity" "residency_type" "education" "RE_job"
[13] "ownership" "treatment" "property_chosen" "abs_value_diff" "value_diff" "p_id" "Index" "question_treatment" "question_control" "population_density" "walk_score" "median_household_income"
[25] "median_age" "nb_race" "median_rooms_rounded" "bedrooms" "bathrooms" "sq_ft" "year_built" "housing_density" "median_male_age" "pct_white" "school_districts" "pct_lt_hs_grad"
[37] "median_rooms" "pct_hs_grad" "pct_at_least_col_grad" "GEOID" "state" "tract" "NAME" "ALAND" "ALAND_SQMI" "county" "Pair_ID" "INTPTLAT"
[49] "INTPTLONG" "iframe" "Racial majority detail" "white_value_diff" "log_abs_diff" "log_white_diff" "nb_is_white" "street_view_person" typeof(df)[1] "list"#Some attempts at writing a model
#For each question, we want the difference in counts of properties selected by is_white
new_df = df[ , .(count=.N), keyby=.(question, nb_is_white, treatment) ]
new_df
#We want to predict the difference of the counts of the is_white or not properties for each question
new_df[ , is_white_count:= diff(count, lag=1), keyby = .(question, treatment)]
new_df
model = new_df[ , lm(is_white_count ~ treatment)]
coeftest(model, vcov = vcovCL(model, cluster = new_df[ , question]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 2.0000 5.6427 0.3544 0.7248
treatment 8.5455 8.7030 0.9819 0.3318prop_white_model = df[, lm(nb_is_white ~ treatment + as.factor(id))]
coeftest(prop_white_model, vcov = vcovCL(prop_white_model, cluster = df[ , as.factor(id)]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.3636e-01 3.4670e-15 1.8355e+14 < 2e-16 ***
treatment -1.8182e-01 1.7877e-14 -1.0171e+13 < 2e-16 ***
as.factor(id)73 1.8182e-01 1.7537e-14 1.0368e+13 < 2e-16 ***
as.factor(id)74 9.0909e-02 1.9288e-14 4.7133e+12 < 2e-16 ***
as.factor(id)77 -3.7013e-15 3.5724e-15 -1.0361e+00 0.30042
as.factor(id)78 -2.0553e-14 1.7908e-14 -1.1477e+00 0.25137
as.factor(id)79 2.2932e-15 3.5353e-15 6.4870e-01 0.51670
as.factor(id)80 -9.0909e-02 3.4749e-15 -2.6162e+13 < 2e-16 ***
as.factor(id)81 1.8182e-01 1.8440e-14 9.8598e+12 < 2e-16 ***
as.factor(id)82 2.7273e-01 1.7565e-14 1.5527e+13 < 2e-16 ***
as.factor(id)83 9.0909e-02 3.4827e-15 2.6103e+13 < 2e-16 ***
as.factor(id)84 -1.8182e-01 3.4687e-15 -5.2417e+13 < 2e-16 ***
as.factor(id)85 -5.3879e-15 3.4917e-15 -1.5430e+00 0.12315
as.factor(id)86 -9.0909e-02 3.4717e-15 -2.6185e+13 < 2e-16 ***
as.factor(id)87 9.0909e-02 1.7992e-14 5.0527e+12 < 2e-16 ***
as.factor(id)88 1.8182e-01 1.7552e-14 1.0359e+13 < 2e-16 ***
as.factor(id)89 1.8182e-01 1.7552e-14 1.0359e+13 < 2e-16 ***
as.factor(id)90 1.8182e-01 3.4785e-15 5.2270e+13 < 2e-16 ***
as.factor(id)91 9.0909e-02 3.4670e-15 2.6221e+13 < 2e-16 ***
as.factor(id)92 2.7273e-01 1.7817e-14 1.5307e+13 < 2e-16 ***
as.factor(id)93 9.0909e-02 3.4817e-15 2.6111e+13 < 2e-16 ***
as.factor(id)94 2.7273e-01 1.7538e-14 1.5551e+13 < 2e-16 ***
as.factor(id)95 -2.7273e-01 3.6024e-15 -7.5706e+13 < 2e-16 ***
as.factor(id)96 9.0909e-02 3.4735e-15 2.6172e+13 < 2e-16 ***
as.factor(id)97 2.7273e-01 1.7548e-14 1.5541e+13 < 2e-16 ***
as.factor(id)98 -7.1342e-15 3.4690e-15 -2.0566e+00 0.03999 *
as.factor(id)99 9.0909e-02 1.7585e-14 5.1697e+12 < 2e-16 ***
as.factor(id)100 -9.0909e-02 3.4858e-15 -2.6080e+13 < 2e-16 ***
as.factor(id)101 -1.8182e-01 3.4694e-15 -5.2407e+13 < 2e-16 ***
as.factor(id)102 9.0909e-02 1.7604e-14 5.1641e+12 < 2e-16 ***
as.factor(id)103 -9.0909e-02 1.7538e-14 -5.1834e+12 < 2e-16 ***
as.factor(id)104 -1.8182e-01 3.4712e-15 -5.2379e+13 < 2e-16 ***
as.factor(id)105 -2.7273e-01 3.4683e-15 -7.8633e+13 < 2e-16 ***
as.factor(id)106 2.7273e-01 1.7839e-14 1.5289e+13 < 2e-16 ***
as.factor(id)107 -3.1819e-15 3.4673e-15 -9.1770e-01 0.35901
as.factor(id)108 -1.9819e-14 1.7628e-14 -1.1243e+00 0.26117
as.factor(id)109 -1.5312e-14 1.7576e-14 -8.7120e-01 0.38387
as.factor(id)110 1.8182e-01 1.7547e-14 1.0362e+13 < 2e-16 ***
as.factor(id)111 -9.0909e-02 3.4729e-15 -2.6177e+13 < 2e-16 ***
as.factor(id)112 2.7273e-01 1.7539e-14 1.5549e+13 < 2e-16 ***
as.factor(id)113 -5.4545e-01 3.5088e-15 -1.5545e+14 < 2e-16 ***
as.factor(id)114 9.0909e-02 3.5109e-15 2.5894e+13 < 2e-16 ***
as.factor(id)115 -9.0909e-02 3.4798e-15 -2.6125e+13 < 2e-16 ***
as.factor(id)116 -9.0909e-02 1.7656e-14 -5.1490e+12 < 2e-16 ***
as.factor(id)117 -3.6364e-01 3.5060e-15 -1.0372e+14 < 2e-16 ***
as.factor(id)118 2.7273e-01 1.7537e-14 1.5551e+13 < 2e-16 ***
as.factor(id)119 -3.6364e-01 3.4674e-15 -1.0487e+14 < 2e-16 ***
as.factor(id)120 2.7273e-01 1.7543e-14 1.5546e+13 < 2e-16 ***
as.factor(id)121 3.6364e-01 1.7626e-14 2.0630e+13 < 2e-16 ***
as.factor(id)122 -1.9711e-14 1.7537e-14 -1.1240e+00 0.26131
as.factor(id)123 9.0909e-02 3.4712e-15 2.6190e+13 < 2e-16 ***
as.factor(id)124 -9.0909e-02 1.7720e-14 -5.1302e+12 < 2e-16 ***
as.factor(id)125 -9.0909e-02 3.4807e-15 -2.6118e+13 < 2e-16 ***
as.factor(id)126 2.7273e-01 1.7572e-14 1.5521e+13 < 2e-16 ***
as.factor(id)127 4.5455e-01 1.7745e-14 2.5615e+13 < 2e-16 ***
as.factor(id)128 1.8182e-01 1.7555e-14 1.0357e+13 < 2e-16 ***
as.factor(id)129 -3.5892e-15 3.4683e-15 -1.0348e+00 0.30100
as.factor(id)130 3.6364e-01 1.7545e-14 2.0725e+13 < 2e-16 ***
as.factor(id)131 -9.0909e-02 3.4674e-15 -2.6218e+13 < 2e-16 ***
as.factor(id)132 9.0909e-02 1.7575e-14 5.1727e+12 < 2e-16 ***
as.factor(id)133 -1.8182e-01 3.4672e-15 -5.2440e+13 < 2e-16 ***
as.factor(id)134 -2.7430e-15 3.4674e-15 -7.9110e-01 0.42909
as.factor(id)135 1.8182e-01 1.7538e-14 1.0367e+13 < 2e-16 ***
as.factor(id)136 -1.8182e-01 3.4789e-15 -5.2263e+13 < 2e-16 ***
as.factor(id)137 9.0909e-02 1.7585e-14 5.1697e+12 < 2e-16 ***
as.factor(id)138 -3.6364e-01 3.4694e-15 -1.0481e+14 < 2e-16 ***
as.factor(id)139 -2.7273e-01 3.4673e-15 -7.8657e+13 < 2e-16 ***
as.factor(id)140 -1.5949e-14 1.7538e-14 -9.0940e-01 0.36336
as.factor(id)141 -2.7273e-01 3.4702e-15 -7.8591e+13 < 2e-16 ***
as.factor(id)142 1.8182e-01 1.7637e-14 1.0309e+13 < 2e-16 ***
as.factor(id)143 -9.0909e-02 3.4682e-15 -2.6212e+13 < 2e-16 ***
as.factor(id)144 -2.7273e-01 3.4723e-15 -7.8544e+13 < 2e-16 ***
as.factor(id)145 1.8182e-01 1.7628e-14 1.0314e+13 < 2e-16 ***
as.factor(id)146 1.8182e-01 1.7544e-14 1.0364e+13 < 2e-16 ***
as.factor(id)147 -3.6364e-01 3.4687e-15 -1.0483e+14 < 2e-16 ***
as.factor(id)148 -2.7273e-01 3.5215e-15 -7.7447e+13 < 2e-16 ***
as.factor(id)149 2.7273e-01 1.7546e-14 1.5544e+13 < 2e-16 ***
as.factor(id)150 1.8182e-01 1.7583e-14 1.0341e+13 < 2e-16 ***
as.factor(id)151 -4.3398e-15 3.4673e-15 -1.2516e+00 0.21100
as.factor(id)152 -2.7273e-01 3.4702e-15 -7.8591e+13 < 2e-16 ***
as.factor(id)153 -2.1136e-14 1.7541e-14 -1.2050e+00 0.22851
as.factor(id)154 -1.8182e-01 3.4681e-15 -5.2426e+13 < 2e-16 ***
as.factor(id)155 2.7273e-01 1.7673e-14 1.5431e+13 < 2e-16 ***
as.factor(id)156 -1.8182e-01 3.4672e-15 -5.2440e+13 < 2e-16 ***
as.factor(id)157 3.6364e-01 1.7539e-14 2.0733e+13 < 2e-16 ***
as.factor(id)158 -1.8394e-14 1.7571e-14 -1.0469e+00 0.29541
as.factor(id)159 -1.8182e-01 3.4764e-15 -5.2301e+13 < 2e-16 ***
as.factor(id)162 -3.3595e-15 3.4717e-15 -9.6770e-01 0.33345
as.factor(id)163 1.8182e-01 1.7542e-14 1.0365e+13 < 2e-16 ***
as.factor(id)164 1.8182e-01 1.7633e-14 1.0311e+13 < 2e-16 ***
as.factor(id)165 9.0909e-02 3.4707e-15 2.6193e+13 < 2e-16 ***
as.factor(id)166 -9.0909e-02 3.4677e-15 -2.6216e+13 < 2e-16 ***
as.factor(id)167 -9.0909e-02 1.7591e-14 -5.1680e+12 < 2e-16 ***
as.factor(id)168 1.8182e-01 1.7571e-14 1.0347e+13 < 2e-16 ***
as.factor(id)169 -1.8182e-01 3.4764e-15 -5.2301e+13 < 2e-16 ***
as.factor(id)171 9.0909e-02 3.4756e-15 2.6156e+13 < 2e-16 ***
as.factor(id)172 1.8182e-01 1.7572e-14 1.0347e+13 < 2e-16 ***
as.factor(id)174 -3.6364e-01 3.4764e-15 -1.0460e+14 < 2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(prop_white_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model, cluster = df[ , as.factor(id)])))),out='prop_white_model_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-0.545<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>0.455<sup>**</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>-0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>0.273</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-0.000</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>0.091</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>0.182</td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-0.364<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.211)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.636<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.149)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.096</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.073 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>prop_white_model_no_id = df[, lm(nb_is_white ~ treatment)]
coeftest(prop_white_model_no_id, vcov = vcovCL(prop_white_model_no_id))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.520000 0.021323 24.3870 < 2.2e-16 ***
treatment 0.089848 0.030102 2.9848 0.002902 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(prop_white_model_no_id, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(prop_white_model_no_id, cluster = df[ , as.factor(id)])))),out='prop_white_model_no_id_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>nb_is_white</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>0.090<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.030)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>0.520<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(0.021)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.008</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.007</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>0.494 (df = 1076)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>8.900<sup>***</sup> (df = 1; 1076)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>df[,log_white_diff] [1] -11.5129255 -11.5129255 -7.6009025 -8.5171932 -11.2252434 -12.2060726 11.0020998 -10.8197783 -9.2103404 10.5966347 -9.2103404 -9.4727046 -10.8197783 -7.6009025 -10.8197783 -9.9034876 -9.2103404 -10.4631033 8.5171932 -13.1223634 -9.6158055 -10.8197783 -12.2060726 -8.9871968 8.5171932 -9.6158055
[27] -11.5129255 11.2252434 8.5171932 -11.5129255 -10.8197783 -9.9034876 -7.7186855 -11.4616322 -9.9034876 -12.2060726 10.1266311 -9.2103404 -10.5966347 9.9987977 -11.6952470 -10.3089527 -8.0063676 9.9034876 7.6009025 8.9871968 10.5966347 -8.5171932 10.5966347 -10.2750511 9.6158055 8.5171932
[53] 11.9183906 -11.5129255 10.5966347 11.0020998 10.3089527 11.6952470 10.1266311 8.6995147 -8.5171932 9.2103404 11.1562505 -9.2103404 -8.6995147 9.2103404 8.5171932 11.2252434 8.0063676 10.1266311 11.5129255 -9.6158055 11.2252434 9.6158055 10.8197783 9.6158055 -9.9034876 10.2399598
[79] 10.8197783 9.6158055 8.9226583 9.9034876 9.2103404 12.6115378 11.0020998 10.5966347 11.9183906 11.0821425 11.0020998 10.8197783 9.6158055 10.1266311 9.6158055 9.6158055 12.2060726 8.5171932 -9.9034876 -10.8197783 9.2103404 -8.5171932 11.1562505 11.5129255 -12.6115378 -10.8197783
[105] -9.9034876 10.9150885 8.9226583 8.9871968 -11.5129255 -9.2103404 -10.8197783 -9.9034876 9.9034876 -10.3734912 7.6009025 -11.9183906 -9.0478214 8.0063676 10.1266311 8.0063676 -9.6158055 -10.3089527 10.8197783 10.1266311 8.5171932 10.4631033 11.5129255 -9.9034876 -8.6125034 -11.2897819
[131] -9.2103404 -12.2060726 9.2103404 9.2103404 -11.2252434 -9.3926619 9.9987977 -10.1266311 -8.8536654 -9.3926619 -8.5171932 -7.6009025 -10.3089527 -8.5171932 11.0020998 11.4075649 10.1266311 8.5171932 11.0020998 10.9150885 11.2252434 10.3089527 9.6158055 10.1266311 8.9871968 -8.1605182
[157] 9.9034876 6.9077553 11.0821425 9.6158055 10.8197783 9.2103404 7.6009025 -10.8197783 8.1016777 9.3926619 11.2252434 6.9077553 9.9034876 10.1266311 11.5129255 11.0020998 9.2103404 10.4631033 10.4631033 9.2103404 8.8536654 10.1266311 10.5966347 11.9183906 -9.9987977 9.2103404
[183] 9.2103404 8.2940496 -8.0063676 10.7144178 9.2103404 10.1266311 8.0063676 8.8536654 10.3089527 8.5171932 -10.3089527 -10.5713169 -8.5171932 -9.9034876 -10.9150885 -12.2060726 12.2060726 -10.5966347 9.6158055 11.2897819 -9.6158055 8.6995147 10.1266311 6.9077553 10.3089527 9.9034876
[209] -9.6158055 9.9034876 -10.1266311 -13.1223634 8.0063676 -9.2103404 8.5171932 -8.0063676 -10.5966347 9.6158055 10.1266311 -10.4631033 8.5171932 -9.0359870 -11.5129255 -8.8536654 -8.9489756 6.9077553 10.8197783 -12.4292162 -10.9150885 -9.9034876 -10.3089527 -9.7409686 10.0858091 -10.4631033
[235] 9.2103404 10.1266311 -8.5171932 -8.0063676 -9.9034876 8.5171932 10.3089527 10.7144178 -8.5171932 8.9226583 10.7144178 11.5129255 -10.5966347 10.5966347 -9.9034876 -10.4631033 8.5171932 9.6803440 8.5171932 -6.9077553 -10.9150885 -8.9871968 9.9034876 -9.6158055 8.5171932 -10.8197783
[261] 9.2103404 -9.6158055 11.2252434 -7.6009025 8.9226583 9.2103404 11.5129255 9.9034876 8.5171932 -9.3056506 10.7144178 9.6158055 -7.8240460 10.3089527 11.5129255 11.5129255 9.9034876 9.6158055 10.5966347 -9.5468126 8.6995147 8.6995147 -8.5171932 -10.8197783 -8.5171932 -7.6009025
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[521] 10.7144178 9.9034876 9.2103404 9.6158055 -6.9077553 9.2103404 10.3089527 8.5171932 9.2103404 9.2103404 9.7409686 -9.2103404 6.9077553 -5.7037825 -8.0063676 8.9226583 8.9871968 6.9077553 8.5171932 -8.8536654 6.9077553 8.8536654 -7.6009025 -8.5171932 7.3132204 -7.6962126
[547] 6.2146081 8.5171932 -10.3089527 6.2146081 8.5171932 -7.8240460 -8.2940496 9.2103404 8.0709061 9.2103404 8.5171932 5.5214609 7.3132204 -7.3132204 -9.9034876 -7.6962126 -8.5171932 -4.6051702 6.9077553 -10.3089527 -8.5171932 8.2940496 -8.6995147 6.9077553 -6.2146081 -7.6009025
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[599] -8.5171932 -6.2146081 8.5171932 6.9077553 -8.5171932 8.5171932 7.2793188 9.2103404 8.5171932 -5.7037825 -6.2146081 8.0063676 11.5129255 8.4553178 10.3089527 5.9914645 8.5171932 10.8197783 8.5171932 8.2940496 -9.2103404 6.9077553 8.0063676 8.8536654 -7.6009025 8.6305219
[625] 6.2146081 -6.2146081 10.3089527 10.1266311 -9.2103404 -10.8197783 10.1266311 -10.4631033 8.9226583 -6.5510803 8.5171932 9.6158055 -7.6009025 -6.9077553 -9.6158055 -9.2103404 -7.6009025 8.9226583 7.6009025 -8.5171932 -7.0900768 -7.8240460 -7.6009025 -8.5171932 -6.9077553 -6.9077553
[651] -8.2940496 -8.0063676 -7.8240460 8.5171932 9.5819039 -9.6158055 -8.5171932 -6.9077553 6.2146081 -8.5171932 -10.8197783 -8.3487745 -9.9034876 -4.6051702 -7.6009025 -9.2103404 -9.2103404 -9.2103404 -8.6995147 0.6931472 -8.0063676 -9.0478214 7.6009025 -7.9724660 -6.9077553 -6.2146081
[677] 10.0858091 -9.6158055 9.9034876 9.6158055 -9.9034876 8.9871968 7.6009025 7.3132204 -7.8240460 -9.6158055 8.5171932 8.0063676 7.6009025 -7.3132204 9.5468126 -8.5171932 6.9077553 -8.2940496 6.8023948 8.4118327 6.2146081 -9.2103404 -9.2103404 -6.2146081 9.2103404 -7.6496926
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[729] 9.2103404 9.2103404 9.6158055 -9.2103404 9.3156909 -5.7037825 7.8240460 9.2103404 9.2103404 6.9077553 8.8536654 8.5171932 6.9077553 10.1266311 7.6009025 8.0063676 5.5214609 -7.8240460 6.9077553 9.9034876 9.2103404 7.6009025 8.5171932 -7.6496926 7.3132204 9.2103404
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[911] -9.6158055 -6.2633983 -8.5171932 3.9120230 -7.3132204 -8.5171932 -8.5171932 -7.6009025 12.0435537 -0.6931472 -6.2146081 -7.3132204 6.9077553 7.9373747 6.2146081 -5.7037825 8.6995147 -9.2103404 9.2103404 9.6158055 -8.6125034 8.5171932 -4.6051702 7.4673711 -7.8240460 -8.5171932
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[989] 8.2940496 -8.5171932 8.0063676 9.3926619 -6.9077553 7.6009025 -6.6200732 -8.2940496 -6.2146081 -9.2103404 -10.3089527 6.9077553
[ reached getOption("max.print") -- omitted 78 entries ]df[,white_value_diff] [1] -100000.0 -100000.0 -2000.0 -5000.0 -75000.0 -200000.0 60000.0 -50000.0 -10000.0 40000.0 -10000.0 -13000.0 -50000.0 -2000.0 -50000.0 -20000.0 -10000.0 -35000.0 5000.0 -500000.0 -15000.0 -50000.0 -200000.0 -8000.0 5000.0 -15000.0 -100000.0 75000.0 5000.0 -100000.0 -50000.0
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[807] -5000.0 750.0 -1000.0 2000.0 125000.0 -2575.0 -10000.0 -300.0 -1000.0 50000.0 -5000.0 -2000.0 -4000.0 -3000.0 -1500.0 -3000.0 -15000.0 -3100.0 -2500.0 -1000.0 -22000.0 15000.0 20000.0 50000.0 -45000.0 10000.0 50000.0 2000.0 5000.0 -5000.0 1000.0
[838] 1000.0 3000.0 -7000.0 3000.0 -5000.0 -3000.0 -30000.0 2300.0 4000.0 1000.0 -10000.0 -10000.0 750.0 15000.0 -3500.0 3000.0 -10000.0 -4500.0 20000.0 -10000.0 500.0 1500.0 -3000.0 -150000.0 1769.0 10000.0 200.0 -1500.0 -100000.0 -5000.0 5000.0
[869] 5000.0 -0.5 1500.0 1250.0 10000.0 1400.0 -1000.0 800.0 -50000.0 -10000.0 -20000.0 -35000.0 13000.0 -20000.0 500.0 -1300.0 3000.0 5000.0 1000.0 2000.0 2000.0 -2000.0 1000.0 5000.0 2000.0 2000.0 -300.0 -5000.0 -500.0 -10000.0 -10000.0
[900] 500.0 -6000.0 -1800.0 -4500.0 5000.0 -16000.0 -20000.0 -1000.0 -500.0 -2000.0 -500.0 -15000.0 -525.0 -5000.0 50.0 -1500.0 -5000.0 -5000.0 -2000.0 170000.0 0.5 -500.0 -1500.0 1000.0 2800.0 500.0 -300.0 6000.0 -10000.0 10000.0 15000.0
[931] -5500.0 5000.0 -100.0 1750.0 -2500.0 -5000.0 15000.0 1000.0 5000.0 3000.0 -12000.0 -5000.0 2000.0 -3000.0 -5000.0 -8000.0 1000.0 20000.0 -20000.0 1000.0 20000.0 1500.0 -5000.0 5000.0 -2700.0 35000.0 5000.0 750.0 -2500.0 -2500.0 50000.0
[962] -1200.0 -25000.0 1000.0 750.0 15000.0 10000.0 5000.0 -30000.0 -10000.0 1000.0 -17000.0 -3000.0 4000.0 -2500.0 3000.0 -10000.0 7500.0 -15000.0 -25000.0 26000.0 -15000.0 500.0 -500.0 2500.0 6000.0 2000.0 -2000.0 4000.0 -5000.0 3000.0 12000.0
[993] -1000.0 2000.0 -750.0 -4000.0 -500.0 -10000.0 -30000.0 1000.0
[ reached getOption("max.print") -- omitted 78 entries ]value_model = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model, vcov = vcovCL(value_model, cluster = df[ , as.factor(id)]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.0909e+03 2.8437e-10 1.4386e+13 <2e-16 ***
treatment -2.7273e+03 7.2710e-10 -3.7509e+12 <2e-16 ***
as.factor(id)73 8.6364e+03 6.6921e-10 1.2905e+13 <2e-16 ***
as.factor(id)74 -1.3636e+03 8.2448e-10 -1.6539e+12 <2e-16 ***
as.factor(id)77 2.7990e-10 2.9612e-10 9.4520e-01 0.3448
as.factor(id)78 2.7727e+03 6.6921e-10 4.1433e+12 <2e-16 ***
as.factor(id)79 3.2727e+03 2.8733e-10 1.1390e+13 <2e-16 ***
as.factor(id)80 -6.8182e+03 2.8958e-10 -2.3545e+13 <2e-16 ***
as.factor(id)81 6.3636e+02 6.6995e-10 9.4986e+11 <2e-16 ***
as.factor(id)82 3.6364e+04 6.7448e-10 5.3914e+13 <2e-16 ***
as.factor(id)83 -1.7582e+02 2.8818e-10 -6.1011e+11 <2e-16 ***
as.factor(id)84 -3.7136e+03 2.8752e-10 -1.2916e+13 <2e-16 ***
as.factor(id)85 -3.0000e+03 2.8609e-10 -1.0486e+13 <2e-16 ***
as.factor(id)86 -4.2273e+03 2.8779e-10 -1.4689e+13 <2e-16 ***
as.factor(id)87 -1.2727e+04 8.4488e-10 -1.5064e+13 <2e-16 ***
as.factor(id)88 1.6364e+04 6.7028e-10 2.4413e+13 <2e-16 ***
as.factor(id)89 1.3636e+03 6.8034e-10 2.0044e+12 <2e-16 ***
as.factor(id)90 1.3636e+03 2.8766e-10 4.7405e+12 <2e-16 ***
as.factor(id)91 -3.4545e+03 2.8746e-10 -1.2018e+13 <2e-16 ***
as.factor(id)92 6.2727e+03 6.8728e-10 9.1269e+12 <2e-16 ***
as.factor(id)93 -3.4091e+03 2.8710e-10 -1.1874e+13 <2e-16 ***
as.factor(id)94 3.3182e+04 6.7329e-10 4.9283e+13 <2e-16 ***
as.factor(id)95 -4.9545e+03 2.9190e-10 -1.6974e+13 <2e-16 ***
as.factor(id)96 -3.0909e+03 2.8791e-10 -1.0736e+13 <2e-16 ***
as.factor(id)97 3.9545e+03 6.7220e-10 5.8830e+12 <2e-16 ***
as.factor(id)98 -1.6818e+03 2.8734e-10 -5.8531e+12 <2e-16 ***
as.factor(id)99 -2.3182e+03 6.7273e-10 -3.4459e+12 <2e-16 ***
as.factor(id)100 -3.7273e+03 2.8710e-10 -1.2982e+13 <2e-16 ***
as.factor(id)101 -7.0000e+03 2.8832e-10 -2.4279e+13 <2e-16 ***
as.factor(id)102 -1.0000e+04 6.6927e-10 -1.4942e+13 <2e-16 ***
as.factor(id)103 -5.6364e+03 6.7209e-10 -8.3863e+12 <2e-16 ***
as.factor(id)104 -4.5273e+03 2.8857e-10 -1.5688e+13 <2e-16 ***
as.factor(id)105 -4.4727e+03 2.8743e-10 -1.5561e+13 <2e-16 ***
as.factor(id)106 2.5455e+04 7.4645e-10 3.4101e+13 <2e-16 ***
as.factor(id)107 -3.9091e+03 2.8821e-10 -1.3563e+13 <2e-16 ***
as.factor(id)108 -2.3636e+03 6.7558e-10 -3.4987e+12 <2e-16 ***
as.factor(id)109 -3.6364e+03 6.7875e-10 -5.3575e+12 <2e-16 ***
as.factor(id)110 -2.6364e+03 6.6964e-10 -3.9370e+12 <2e-16 ***
as.factor(id)111 5.4545e+03 2.8733e-10 1.8984e+13 <2e-16 ***
as.factor(id)112 -2.2273e+03 6.6995e-10 -3.3245e+12 <2e-16 ***
as.factor(id)113 -1.9182e+04 2.8864e-10 -6.6456e+13 <2e-16 ***
as.factor(id)114 -3.4545e+03 2.8767e-10 -1.2009e+13 <2e-16 ***
as.factor(id)115 -6.3636e+03 2.8774e-10 -2.2116e+13 <2e-16 ***
as.factor(id)116 -9.6818e+04 6.6989e-10 -1.4453e+14 <2e-16 ***
as.factor(id)117 -5.4000e+03 2.8773e-10 -1.8768e+13 <2e-16 ***
as.factor(id)118 -3.6364e+01 6.6960e-10 -5.4307e+10 <2e-16 ***
as.factor(id)119 -6.7727e+03 2.8696e-10 -2.3601e+13 <2e-16 ***
as.factor(id)120 5.6364e+03 6.6983e-10 8.4146e+12 <2e-16 ***
as.factor(id)121 1.2273e+04 7.5741e-10 1.6204e+13 <2e-16 ***
as.factor(id)122 -2.6364e+03 6.7799e-10 -3.8885e+12 <2e-16 ***
as.factor(id)123 -1.8182e+03 2.8576e-10 -6.3627e+12 <2e-16 ***
as.factor(id)124 1.3636e+03 6.7123e-10 2.0315e+12 <2e-16 ***
as.factor(id)125 -3.2955e+03 2.8468e-10 -1.1576e+13 <2e-16 ***
as.factor(id)126 3.6364e+03 6.6938e-10 5.4324e+12 <2e-16 ***
as.factor(id)127 3.8636e+04 7.6589e-10 5.0446e+13 <2e-16 ***
as.factor(id)128 1.4091e+04 6.7647e-10 2.0830e+13 <2e-16 ***
as.factor(id)129 1.8182e+03 2.8758e-10 6.3224e+12 <2e-16 ***
as.factor(id)130 3.1818e+03 6.7403e-10 4.7206e+12 <2e-16 ***
as.factor(id)131 -3.3636e+03 2.8829e-10 -1.1668e+13 <2e-16 ***
as.factor(id)132 -5.8182e+02 6.7911e-10 -8.5673e+11 <2e-16 ***
as.factor(id)133 -4.0818e+03 2.8752e-10 -1.4197e+13 <2e-16 ***
as.factor(id)134 -3.8636e+03 2.8724e-10 -1.3451e+13 <2e-16 ***
as.factor(id)135 1.9091e+04 6.7128e-10 2.8440e+13 <2e-16 ***
as.factor(id)136 -4.2727e+03 2.8799e-10 -1.4836e+13 <2e-16 ***
as.factor(id)137 -2.6364e+03 6.7409e-10 -3.9110e+12 <2e-16 ***
as.factor(id)138 -1.2727e+04 2.8602e-10 -4.4498e+13 <2e-16 ***
as.factor(id)139 -4.3233e+03 2.8959e-10 -1.4929e+13 <2e-16 ***
as.factor(id)140 -9.1364e+02 6.7109e-10 -1.3614e+12 <2e-16 ***
as.factor(id)141 -6.8182e+03 2.8852e-10 -2.3631e+13 <2e-16 ***
as.factor(id)142 -2.7273e+03 7.0852e-10 -3.8492e+12 <2e-16 ***
as.factor(id)143 -3.9227e+03 2.8873e-10 -1.3586e+13 <2e-16 ***
as.factor(id)144 -4.0682e+03 2.8665e-10 -1.4192e+13 <2e-16 ***
as.factor(id)145 1.3182e+04 6.6920e-10 1.9698e+13 <2e-16 ***
as.factor(id)146 6.6818e+04 6.8531e-10 9.7501e+13 <2e-16 ***
as.factor(id)147 -1.3182e+04 2.8723e-10 -4.5894e+13 <2e-16 ***
as.factor(id)148 -5.8636e+03 2.8676e-10 -2.0448e+13 <2e-16 ***
as.factor(id)149 3.9091e+03 6.7054e-10 5.8298e+12 <2e-16 ***
as.factor(id)150 4.5455e+02 6.6940e-10 6.7904e+11 <2e-16 ***
as.factor(id)151 -1.0455e+03 2.8519e-10 -3.6659e+12 <2e-16 ***
as.factor(id)152 6.3636e+03 2.8527e-10 2.2307e+13 <2e-16 ***
as.factor(id)153 -4.0909e+03 6.6940e-10 -6.1113e+12 <2e-16 ***
as.factor(id)154 -5.0001e+03 2.8882e-10 -1.7312e+13 <2e-16 ***
as.factor(id)155 1.4364e+04 6.7301e-10 2.1342e+13 <2e-16 ***
as.factor(id)156 -4.1591e+03 2.8748e-10 -1.4468e+13 <2e-16 ***
as.factor(id)157 3.2727e+04 6.7094e-10 4.8778e+13 <2e-16 ***
as.factor(id)158 6.3636e+02 6.6920e-10 9.5093e+11 <2e-16 ***
as.factor(id)159 -5.8636e+03 2.8982e-10 -2.0232e+13 <2e-16 ***
as.factor(id)162 -3.8182e+03 2.8524e-10 -1.3386e+13 <2e-16 ***
as.factor(id)163 3.4545e+03 6.7394e-10 5.1259e+12 <2e-16 ***
as.factor(id)164 1.1818e+03 6.7112e-10 1.7610e+12 <2e-16 ***
as.factor(id)165 -2.7727e+03 2.8535e-10 -9.7171e+12 <2e-16 ***
as.factor(id)166 -4.5291e+03 2.8450e-10 -1.5920e+13 <2e-16 ***
as.factor(id)167 -1.9091e+03 6.7137e-10 -2.8436e+12 <2e-16 ***
as.factor(id)168 3.0000e+03 6.7782e-10 4.4259e+12 <2e-16 ***
as.factor(id)169 -5.7000e+03 2.8625e-10 -1.9913e+13 <2e-16 ***
as.factor(id)171 9.0909e+02 2.8774e-10 3.1594e+12 <2e-16 ***
as.factor(id)172 9.5455e+03 6.7349e-10 1.4173e+13 <2e-16 ***
as.factor(id)174 -7.9545e+03 2.8647e-10 -2.7767e+13 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model, cluster = df[ , as.factor(id)])))),out='value_model_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>white_value_diff</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>8,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>-1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>3,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>36,363.640<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-175.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-3,713.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-4,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>16,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>6,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-3,409.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>33,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-4,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-3,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>3,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-1,681.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>-2,318.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-3,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-7,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-10,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-4,527.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-4,472.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>25,454.540</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-2,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>5,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-2,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-19,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-96,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5,400.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-36.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-6,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>12,272.730</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-3,295.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>38,636.360<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>14,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>3,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-3,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>-581.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-4,081.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-3,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>19,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-4,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-4,323.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-913.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3,922.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-4,068.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>66,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-1,045.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-5,000.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>14,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-4,159.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>32,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-3,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-4,529.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-1,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-5,700.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>9,545.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-7,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(14,819.770)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.093</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.004</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>49,151.620 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.041 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>value_model_log = df[, lm(white_value_diff ~ treatment + as.factor(id))]
coeftest(value_model_log, vcov = vcovCL(value_model_log, cluster = df[ , as.factor(id)]))
t test of coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 4.0909e+03 2.8437e-10 1.4386e+13 <2e-16 ***
treatment -2.7273e+03 7.2710e-10 -3.7509e+12 <2e-16 ***
as.factor(id)73 8.6364e+03 6.6921e-10 1.2905e+13 <2e-16 ***
as.factor(id)74 -1.3636e+03 8.2448e-10 -1.6539e+12 <2e-16 ***
as.factor(id)77 2.7990e-10 2.9612e-10 9.4520e-01 0.3448
as.factor(id)78 2.7727e+03 6.6921e-10 4.1433e+12 <2e-16 ***
as.factor(id)79 3.2727e+03 2.8733e-10 1.1390e+13 <2e-16 ***
as.factor(id)80 -6.8182e+03 2.8958e-10 -2.3545e+13 <2e-16 ***
as.factor(id)81 6.3636e+02 6.6995e-10 9.4986e+11 <2e-16 ***
as.factor(id)82 3.6364e+04 6.7448e-10 5.3914e+13 <2e-16 ***
as.factor(id)83 -1.7582e+02 2.8818e-10 -6.1011e+11 <2e-16 ***
as.factor(id)84 -3.7136e+03 2.8752e-10 -1.2916e+13 <2e-16 ***
as.factor(id)85 -3.0000e+03 2.8609e-10 -1.0486e+13 <2e-16 ***
as.factor(id)86 -4.2273e+03 2.8779e-10 -1.4689e+13 <2e-16 ***
as.factor(id)87 -1.2727e+04 8.4488e-10 -1.5064e+13 <2e-16 ***
as.factor(id)88 1.6364e+04 6.7028e-10 2.4413e+13 <2e-16 ***
as.factor(id)89 1.3636e+03 6.8034e-10 2.0044e+12 <2e-16 ***
as.factor(id)90 1.3636e+03 2.8766e-10 4.7405e+12 <2e-16 ***
as.factor(id)91 -3.4545e+03 2.8746e-10 -1.2018e+13 <2e-16 ***
as.factor(id)92 6.2727e+03 6.8728e-10 9.1269e+12 <2e-16 ***
as.factor(id)93 -3.4091e+03 2.8710e-10 -1.1874e+13 <2e-16 ***
as.factor(id)94 3.3182e+04 6.7329e-10 4.9283e+13 <2e-16 ***
as.factor(id)95 -4.9545e+03 2.9190e-10 -1.6974e+13 <2e-16 ***
as.factor(id)96 -3.0909e+03 2.8791e-10 -1.0736e+13 <2e-16 ***
as.factor(id)97 3.9545e+03 6.7220e-10 5.8830e+12 <2e-16 ***
as.factor(id)98 -1.6818e+03 2.8734e-10 -5.8531e+12 <2e-16 ***
as.factor(id)99 -2.3182e+03 6.7273e-10 -3.4459e+12 <2e-16 ***
as.factor(id)100 -3.7273e+03 2.8710e-10 -1.2982e+13 <2e-16 ***
as.factor(id)101 -7.0000e+03 2.8832e-10 -2.4279e+13 <2e-16 ***
as.factor(id)102 -1.0000e+04 6.6927e-10 -1.4942e+13 <2e-16 ***
as.factor(id)103 -5.6364e+03 6.7209e-10 -8.3863e+12 <2e-16 ***
as.factor(id)104 -4.5273e+03 2.8857e-10 -1.5688e+13 <2e-16 ***
as.factor(id)105 -4.4727e+03 2.8743e-10 -1.5561e+13 <2e-16 ***
as.factor(id)106 2.5455e+04 7.4645e-10 3.4101e+13 <2e-16 ***
as.factor(id)107 -3.9091e+03 2.8821e-10 -1.3563e+13 <2e-16 ***
as.factor(id)108 -2.3636e+03 6.7558e-10 -3.4987e+12 <2e-16 ***
as.factor(id)109 -3.6364e+03 6.7875e-10 -5.3575e+12 <2e-16 ***
as.factor(id)110 -2.6364e+03 6.6964e-10 -3.9370e+12 <2e-16 ***
as.factor(id)111 5.4545e+03 2.8733e-10 1.8984e+13 <2e-16 ***
as.factor(id)112 -2.2273e+03 6.6995e-10 -3.3245e+12 <2e-16 ***
as.factor(id)113 -1.9182e+04 2.8864e-10 -6.6456e+13 <2e-16 ***
as.factor(id)114 -3.4545e+03 2.8767e-10 -1.2009e+13 <2e-16 ***
as.factor(id)115 -6.3636e+03 2.8774e-10 -2.2116e+13 <2e-16 ***
as.factor(id)116 -9.6818e+04 6.6989e-10 -1.4453e+14 <2e-16 ***
as.factor(id)117 -5.4000e+03 2.8773e-10 -1.8768e+13 <2e-16 ***
as.factor(id)118 -3.6364e+01 6.6960e-10 -5.4307e+10 <2e-16 ***
as.factor(id)119 -6.7727e+03 2.8696e-10 -2.3601e+13 <2e-16 ***
as.factor(id)120 5.6364e+03 6.6983e-10 8.4146e+12 <2e-16 ***
as.factor(id)121 1.2273e+04 7.5741e-10 1.6204e+13 <2e-16 ***
as.factor(id)122 -2.6364e+03 6.7799e-10 -3.8885e+12 <2e-16 ***
as.factor(id)123 -1.8182e+03 2.8576e-10 -6.3627e+12 <2e-16 ***
as.factor(id)124 1.3636e+03 6.7123e-10 2.0315e+12 <2e-16 ***
as.factor(id)125 -3.2955e+03 2.8468e-10 -1.1576e+13 <2e-16 ***
as.factor(id)126 3.6364e+03 6.6938e-10 5.4324e+12 <2e-16 ***
as.factor(id)127 3.8636e+04 7.6589e-10 5.0446e+13 <2e-16 ***
as.factor(id)128 1.4091e+04 6.7647e-10 2.0830e+13 <2e-16 ***
as.factor(id)129 1.8182e+03 2.8758e-10 6.3224e+12 <2e-16 ***
as.factor(id)130 3.1818e+03 6.7403e-10 4.7206e+12 <2e-16 ***
as.factor(id)131 -3.3636e+03 2.8829e-10 -1.1668e+13 <2e-16 ***
as.factor(id)132 -5.8182e+02 6.7911e-10 -8.5673e+11 <2e-16 ***
as.factor(id)133 -4.0818e+03 2.8752e-10 -1.4197e+13 <2e-16 ***
as.factor(id)134 -3.8636e+03 2.8724e-10 -1.3451e+13 <2e-16 ***
as.factor(id)135 1.9091e+04 6.7128e-10 2.8440e+13 <2e-16 ***
as.factor(id)136 -4.2727e+03 2.8799e-10 -1.4836e+13 <2e-16 ***
as.factor(id)137 -2.6364e+03 6.7409e-10 -3.9110e+12 <2e-16 ***
as.factor(id)138 -1.2727e+04 2.8602e-10 -4.4498e+13 <2e-16 ***
as.factor(id)139 -4.3233e+03 2.8959e-10 -1.4929e+13 <2e-16 ***
as.factor(id)140 -9.1364e+02 6.7109e-10 -1.3614e+12 <2e-16 ***
as.factor(id)141 -6.8182e+03 2.8852e-10 -2.3631e+13 <2e-16 ***
as.factor(id)142 -2.7273e+03 7.0852e-10 -3.8492e+12 <2e-16 ***
as.factor(id)143 -3.9227e+03 2.8873e-10 -1.3586e+13 <2e-16 ***
as.factor(id)144 -4.0682e+03 2.8665e-10 -1.4192e+13 <2e-16 ***
as.factor(id)145 1.3182e+04 6.6920e-10 1.9698e+13 <2e-16 ***
as.factor(id)146 6.6818e+04 6.8531e-10 9.7501e+13 <2e-16 ***
as.factor(id)147 -1.3182e+04 2.8723e-10 -4.5894e+13 <2e-16 ***
as.factor(id)148 -5.8636e+03 2.8676e-10 -2.0448e+13 <2e-16 ***
as.factor(id)149 3.9091e+03 6.7054e-10 5.8298e+12 <2e-16 ***
as.factor(id)150 4.5455e+02 6.6940e-10 6.7904e+11 <2e-16 ***
as.factor(id)151 -1.0455e+03 2.8519e-10 -3.6659e+12 <2e-16 ***
as.factor(id)152 6.3636e+03 2.8527e-10 2.2307e+13 <2e-16 ***
as.factor(id)153 -4.0909e+03 6.6940e-10 -6.1113e+12 <2e-16 ***
as.factor(id)154 -5.0001e+03 2.8882e-10 -1.7312e+13 <2e-16 ***
as.factor(id)155 1.4364e+04 6.7301e-10 2.1342e+13 <2e-16 ***
as.factor(id)156 -4.1591e+03 2.8748e-10 -1.4468e+13 <2e-16 ***
as.factor(id)157 3.2727e+04 6.7094e-10 4.8778e+13 <2e-16 ***
as.factor(id)158 6.3636e+02 6.6920e-10 9.5093e+11 <2e-16 ***
as.factor(id)159 -5.8636e+03 2.8982e-10 -2.0232e+13 <2e-16 ***
as.factor(id)162 -3.8182e+03 2.8524e-10 -1.3386e+13 <2e-16 ***
as.factor(id)163 3.4545e+03 6.7394e-10 5.1259e+12 <2e-16 ***
as.factor(id)164 1.1818e+03 6.7112e-10 1.7610e+12 <2e-16 ***
as.factor(id)165 -2.7727e+03 2.8535e-10 -9.7171e+12 <2e-16 ***
as.factor(id)166 -4.5291e+03 2.8450e-10 -1.5920e+13 <2e-16 ***
as.factor(id)167 -1.9091e+03 6.7137e-10 -2.8436e+12 <2e-16 ***
as.factor(id)168 3.0000e+03 6.7782e-10 4.4259e+12 <2e-16 ***
as.factor(id)169 -5.7000e+03 2.8625e-10 -1.9913e+13 <2e-16 ***
as.factor(id)171 9.0909e+02 2.8774e-10 3.1594e+12 <2e-16 ***
as.factor(id)172 9.5455e+03 6.7349e-10 1.4173e+13 <2e-16 ***
as.factor(id)174 -7.9545e+03 2.8647e-10 -2.7767e+13 <2e-16 ***
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1stargazer::stargazer(value_model_log, header = T, type='html', se = list(NULL,sqrt(diag(vcovCL(value_model_log, cluster = df[ , as.factor(id)])))),out='value_model_log_table.html')length of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changedlength of NULL cannot be changed
<table style="text-align:center"><tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="1" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>white_value_diff</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">treatment</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)73</td><td>8,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)74</td><td>-1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)77</td><td>0.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)78</td><td>2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)79</td><td>3,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)80</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)81</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)82</td><td>36,363.640<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)83</td><td>-175.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)84</td><td>-3,713.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)85</td><td>-3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)86</td><td>-4,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)87</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)88</td><td>16,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)89</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)90</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)91</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)92</td><td>6,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)93</td><td>-3,409.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)94</td><td>33,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)95</td><td>-4,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)96</td><td>-3,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)97</td><td>3,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)98</td><td>-1,681.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)99</td><td>-2,318.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)100</td><td>-3,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)101</td><td>-7,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)102</td><td>-10,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)103</td><td>-5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)104</td><td>-4,527.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)105</td><td>-4,472.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)106</td><td>25,454.540</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)107</td><td>-3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)108</td><td>-2,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)109</td><td>-3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)110</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)111</td><td>5,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)112</td><td>-2,227.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)113</td><td>-19,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)114</td><td>-3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)115</td><td>-6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)116</td><td>-96,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)117</td><td>-5,400.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)118</td><td>-36.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)119</td><td>-6,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)120</td><td>5,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)121</td><td>12,272.730</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)122</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)123</td><td>-1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)124</td><td>1,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)125</td><td>-3,295.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)126</td><td>3,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)127</td><td>38,636.360<sup>*</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)128</td><td>14,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)129</td><td>1,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)130</td><td>3,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)131</td><td>-3,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)132</td><td>-581.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)133</td><td>-4,081.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)134</td><td>-3,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)135</td><td>19,090.910</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)136</td><td>-4,272.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)137</td><td>-2,636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)138</td><td>-12,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)139</td><td>-4,323.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)140</td><td>-913.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)141</td><td>-6,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)142</td><td>-2,727.273</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)143</td><td>-3,922.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)144</td><td>-4,068.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)145</td><td>13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)146</td><td>66,818.180<sup>***</sup></td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)147</td><td>-13,181.820</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)148</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)149</td><td>3,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)150</td><td>454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)151</td><td>-1,045.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)152</td><td>6,363.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)153</td><td>-4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)154</td><td>-5,000.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)155</td><td>14,363.640</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)156</td><td>-4,159.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)157</td><td>32,727.270</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)158</td><td>636.364</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)159</td><td>-5,863.636</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)162</td><td>-3,818.182</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)163</td><td>3,454.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)164</td><td>1,181.818</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)165</td><td>-2,772.727</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)166</td><td>-4,529.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)167</td><td>-1,909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)168</td><td>3,000.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)169</td><td>-5,700.000</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)171</td><td>909.091</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)172</td><td>9,545.455</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)173</td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">as.factor(id)174</td><td>-7,954.545</td></tr>
<tr><td style="text-align:left"></td><td>(20,958.320)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td style="text-align:left">Constant</td><td>4,090.909</td></tr>
<tr><td style="text-align:left"></td><td>(14,819.770)</td></tr>
<tr><td style="text-align:left"></td><td></td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>1,078</td></tr>
<tr><td style="text-align:left">R<sup>2</sup></td><td>0.093</td></tr>
<tr><td style="text-align:left">Adjusted R<sup>2</sup></td><td>0.004</td></tr>
<tr><td style="text-align:left">Residual Std. Error</td><td>49,151.620 (df = 980)</td></tr>
<tr><td style="text-align:left">F Statistic</td><td>1.041 (df = 97; 980)</td></tr>
<tr><td colspan="2" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td style="text-align:right"><sup>*</sup>p<0.1; <sup>**</sup>p<0.05; <sup>***</sup>p<0.01</td></tr>
</table>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